Found in Robotics News & Content, with a score of 17.30
…detection and ranging platform with Seoul Robotics' SENSR 3D perception software. The companies said they will provide a complete system for long-range object detection, classification, and perception for intelligent traffic systems (ITS) by providing 3D perception for vehicles, cyclists, and pedestrians at distances beyond 300 m (984.2 ft.). “ITS integrators typically don’t source individual sensors and software, instead relying on complete solution providers for smart mobility, traffic management, and automated tolling applications, and that’s exactly what we’re delivering,” said Akram Benmbarek, vice president of business development and strategic initiatives at AEye. “With the integration of the 4Sight M and SENSR,…
Found in Robotics News & Content, with a score of 7.83
…system “is the first radar that can truly enrich perception algorithms, making sure they operate in all possible driving scenarios.” The company said it provides capabilities that were previously associated with more costly sensors like lidar. In April, China-based AutoX chose Arbe to supply radar for its Level 4 robotaxis. Arbe to receive $118M in SPAC deal Industrial Tech Acquisitions (ITAC) shareholders approved the business combination with Arbe at a special meeting on Oct. 5. The SPAC is sponsored by Texas Ventures. “I am excited to complete this deal and look forward to working with the entire Arbe team as…
Found in Robotics News & Content, with a score of 9.64
…proposition. How can you gain confidence that the robot’s perception capabilities are robust enough so it performs safely and as planned? Trimble faced this challenge when it started building plans to deploy the Spot robot in a variety of indoor settings and construction environments. Sunnyvale, Calif.-based Trimble needed to tune the machine learning (ML) models to the exact indoor environments so Boston Dynamics' quadruped could autonomously operate in these different indoor settings. “As we deploy Spot equipped with our data-collection sensors and field-control software to indoor environments, we need to develop a cost effective and reliable workflow to train our…
Found in Robotics News & Content, with a score of 4.53
…to scale quickly, safely, and efficiently. The Kodiak Vision perception system considers every sensor—including lidar, cameras, and radar—primary, said the company. Kodiak Vision fuses data from the sensors and considers the relative strengths and weaknesses of each type. This incorporates extra redundancies and cross-validates data, adding another layer of safety to the self-driving system, Kodiak said. In addition, the truck incorporates the ZF Full Range Radar and Luminar's long-range Iris lidar for performance and reliability. The company said these sensors, combined with its previously announced integration with Hesai Technnology Co. 360-degree scanning lidar for side- and rear-view detection, will provide…
Found in Robotics News & Content, with a score of 10.65
…includes a robotic arm guided by advanced vision and perception technologies, enabling cases to be picked from a single- or mixed-SKU pallet on a fixed or mobile location. The computer vision technology identifies the exact location of every case on the pallet, while perception software automatically recognizes a wide variety of packaging to allow for seamless handling of a continuous flow of pallets in any sequence without requiring any pre-programming or operator intervention. The advanced machine learning and motion planning optimizes the movements of the robotic arm to ensure maximum picking speed and efficiency. The control logic also senses the…
Found in Robotics News & Content, with a score of 4.66
…systems [ADAS],” he explained. “Not only are we providing perception to cars or robots, but these systems are also helping people drive more safely with features such as lanekeeping. That's where we're focused.” Activ Surgical's hardware-agnostic ActivInsights software is intended to combine augmented reality (AR), machine learning, and robotics for autonomous and collaborative surgery. “We're working with a number of robotics vendors to make their systems better,” said Kim. “With a realtime flow of information and optical signatures, the surgeon can identify different types of tissue.” “ActiveSight is a simple module between any camera and endoscope system, allowing it to…
Found in Robotics News & Content, with a score of 5.41
…flying, while simultaneously addressing in a unified manner the perception and navigation challenges.” “In the underground environment, there are so many challenges from lighting and communications to the slipperiness of terrain itself,” said Dr. Marco Camurri, a senior researcher at Oxford University. “This demanded a whole range of breakthroughs by our team.” Virtual Competition tested simulated exploration Teams in the Virtual Competition developed software and algorithms using virtual models of systems, environments, and terrain to compete in simulation-based events and explore simulated environments. The teams also used virtual drones and mobile robots to find artifacts hidden in the different environments…
Found in Robotics News & Content, with a score of 10.96
…labor shortages. Driven by machine learning and advances in perception and gripping technologies, Honeywell said its Smart Flexible Depalletizer minimizes the need for human workers to break down pallet loads. Such roles are at risk for safety incidents, experience high turnover, and are currently difficult to fill. A typical midsize to large distribution center unpacks up to several thousand pallets per day, with the probability of errors, worker fatigue, and injury increasing during each shift, noted the company. “Even when manual operations are running smoothly without injuries, the physical, repetitive task of unloading pallets is variable and limited by human…
Found in Robotics News & Content, with a score of 8.21
…vehicles. The startup said its deep learning software for perception, mapping, and data-driven path planning will enable fuly autonomous driving. In addition, Momenta said it has taken a “two-leg” product strategy focusing on its Mpilot and MSD (Momenta Self-Driving) systems. Mpilot is a “highly automated driving full-stack solution for mass production of private cars,” said Momenta. Its core products include Mpilot X and technology for scenarios such as high-speed expressways, parking, and urban areas. MSD is Momenta's SAE Level 4 autonomous driving product for service use cases such as taxicabs. The company said its flywheel approach enabled it to “effectively…
Found in Robotics News & Content, with a score of 15.48
…is on improving throughput on image processing and on perception models based on deep neural networks (DNNs). These packages can reduce the load on the host CPU while providing significant performance gain, said NVIDIA. “DNN models can be used as a plug-in to develop robots,” said Gopalakrishna. “Developers could take domain-specific data for, say, a hospital, a warehouse, or a store. They could deploy a diverse set of models in real time.” The new Isaac GEMs for ROS include: SGM stereo disparity and point cloud Color space conversation and lens distortion correction AprilTags detection “We now have over 850,000 developers…
Found in Robotics News & Content, with a score of 5.13
…and other pick-and-place applications. The Mujin Controller uses real-time perception, motion planning, simulation, and universal control to enable robots to handle complex tasks without the need for coding, the company said. It added that it has worked to make automation easier to deploy, more accurate and reliable, and less costly. Mujin minimizes human intervention “As we come into the Americas, we've been talking to end users and integrators,” Diankov told Robotics 24/7. “When we ask them how many systems are in production, they're still in the single digits. Amazon can hire tens of thousands of people and use thousands of…
Found in Robotics News & Content, with a score of 20.58
…market research firm Vanson Bourne and examined AI’s use, perception, and value. Survey respondents included executives, directors, and warehouse managers from 350 U.S. and U.K. organizations. They said they're using AI mostly for inventory management and described challenges with using AI more broadly. Lucas Systems, which commissioned the study, has 23 years of experience implementing AI-powered software into more than 400 warehouses worldwide. The company, which has offices in Wexford, Penn., and Bracknell, U.K., said it can help distribution centers (DCs) increase worker productivity, operational agility, and customer satisfaction with voice and AI optimization technologies. Warehouse execs optimistic but need…